Design and build scalable, fault-tolerant infrastructure systems across multiple cloud regions.

Own and evolve multi-cloud infrastructure using Azure, GCP, Kubernetes, networking, and container management.

Develop distributed systems including model proxies, rate limiting, quota management, multi-region deployment, and observability infrastructure.

8+ years of experience in core backend infrastructure engineering or backend platform engineering in production environments.

- Long track record building and scaling complex, large-scale distributed systems.
- Deep proficiency with cloud infrastructure platforms; Azure is preferred, with GCP or AWS experience transferable.
- Robust understanding of Kubernetes, container orchestration, networking, and cloud security at scale.
- Experience with Datadog, Sentry, PagerDuty, Incident.Strong programming skills in Python, Go, or similar languages.
- Preferred experience includes AI/ML infrastructure or high-throughput inference systems, distributed rate limiting, load balancing, quota management, multi-tenant platforms, strict security and compliance requirements, and leading complex cross-functional projects.

📌 Senior Software Engineer - AI/ML (Bengaluru)
🏢 Harvey
📍 Bengaluru